scholarly journals ANALYSIS OF TANK 35H SAMPLES IN SUPPORT OF SALT BATCH PLANNING

2015 ◽  
Author(s):  
M. Hay ◽  
C. Coleman ◽  
D. Diprete
Keyword(s):  
Batch Planning

Pipeline Batch Planning to Optimize Storage Requirements

2010 ◽  
Author(s):  
Bill Ma ◽  
Alan Zhou ◽  
Jim Steeves
Keyword(s):  
Pipeline System ◽  
Storage Requirement ◽  
Multiple Products ◽  
Batch Delivery ◽  
Fluid Flow Velocity ◽  
Velocity Flow ◽  
Tank Storage ◽  
Flow Simulator ◽  
Viscosity Fluid ◽  
Batch Planning

Pipeline batch delivery is a common practice in the industry to transport multiple products in the same pipeline. Proper batch planning can minimize the product storage requirement in operating a pipeline system. Transporting fluids in batches without using separation pigs can result in interface contamination between two different fluids in the pipeline. The volume of interfaces is closely related to the diffusion and dispersions occurred on the interface, which are dependent on product properties such as density and viscosity, fluid flow velocity, flow regime, pipeline mechanical configuration, pipe diameter and roughness, and travelling distance. In general, a turbulent flow is preferred to minimize the boundary viscous layer, thus, reducing the interface volume. The batching sequence is typically arranged so as to achieve the minimum batch interface contamination with the distance travelled. Normally, this is done by arranging the adjacent batches in descending or ascending order of the product quality or density. In this paper, a batch delivery analysis is performed on a proposed multiproduct pipeline to transport eight refined products from a refinery to a delivery terminal through a 240 km NPS 18 pipeline. The minimum volume of each product making up a batch will be sized to allow for reinjection of the interfaces back into the corresponding product tanks at the delivery terminal according to a set of contamination criteria. The proposed batch sequence is to minimize the required tank storage volume. A dynamic hydraulic flow simulator is utilized in this study to confirm the batch planning of the delivery system. The model is developed with the optimized batch plan and the dynamic net tank storage requirement for each product is determined. This paper will detail the methodology for batching design and tank storage calculations.

Advantages of Integrated and Long Term Aluminum Recycling Batch Planning in a Constrained Secondary Material Market

2012 ◽  
pp. 305-314
Author(s):  
Tracey Brommer ◽  
Elsa Olivetti ◽  
Britt Elin Gihleengen ◽  
Randolph Kirchain
Keyword(s):  
Secondary Material ◽  
Aluminum Recycling ◽  
Batch Planning

Hot-Rolling Batch Planning Problem of Round Bar with Roller Capacity

2014 ◽  
Vol 941-944 ◽  
pp. 2317-2320
Author(s):  
Liang Bai ◽  
Tie Ke Li ◽  
Bai Lin Wang ◽  
Guang Jing Dong ◽  
Shao Yun Xu
Keyword(s):  
Hot Rolling ◽  
Mathematic Model ◽  
Constraint Propagation ◽  
Planning Problem ◽  
Routing Problem ◽  
Selection Rules ◽  
Proposed Model ◽  
Round Bar ◽  
Set Up ◽  
Batch Planning

Considering the feature of roller capacity with dynamics change in round bar production, a hot-rolling batch planning problem is studied. Firstly, the problem is formulated as a different capacities vehicle routing problem (DCVRP). And then, a mathematic model is built with two optimization objectives, minimization for total set-up time and maximization for utilization of roller. Secondly, an algorithm based on constraint satisfaction technique is present with variable selection rules and value selection rules for billet selecting, grouping and sequencing, and constraint propagation for searching-space reducing and rolling-unit partitioning. Meanwhile, the current capacity of online roller is updated dynamically during the solving process of algorithm. Finally, comparing results indicated that the proposed model and algorithm are effective and efficient.

scholarly journals Research on Decision Support Method for Charge Batch Planning of Steelmaking-Continuous Casting under Lagrangian Framework

2020 ◽  
Vol 53 (2) ◽  
pp. 11138-11143
Author(s):  
Liangliang Sun ◽  
Yaqian Yu ◽  
Congxin Li ◽  
Duncan Stephen Cloete ◽  
Song Bai
Keyword(s):  
Decision Support ◽  
Continuous Casting ◽  
Lagrangian Framework ◽  
Decision Support Method ◽  
Batch Planning

Research and Application of Integrated Scheduling Management System of Steelmaking-Casting-Rolling Based on Heat Process Model

2013 ◽  
Vol 760-762 ◽  
pp. 1017-1022
Author(s):  
Li Jun Liu ◽  
Zhi Wen ◽  
Fu Yong Su ◽  
Rui Feng Dou ◽  
Xun Liang Liu ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Process Model ◽  
Job Scheduling ◽  
Ant Algorithm ◽  
Heat Process ◽  
Integrated Scheduling ◽  
Rolling Production ◽  
The Mathematical Model ◽  
Scheduling Management ◽  
Batch Planning

by studying steelmaking-casting-rolling production process, a mathematical model of integrated batch planning is established innovatively to minimize processing costs of whole line and computed by an intelligent optimization ant algorithm. On the premise of utilizing and coordinating capacity of steelmaking and rolling, the mathematical model of integrated batch planning can create integrated batch planning to combine steelmaking-casting-rolling closely according to each process constraint conditions and optimization objective. Furthermore, another mathematical model of job scheduling based on heat process model is proposed to not only guarantee the logistics balance between continuous casting and hot rolling, but also acquire the highest ratio of DHCR and lowest energy consumption.

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